



'''simple docstring'''






def  lowerCamelCase__			(		_A							):
  return credit_card_number.startswith(('34', '35', '37', '4', '5', '6')							)
def  lowerCamelCase__			(		_A							):
  a		:   Optional[int]	  =	credit_card_number
  a		:   List[Any]	  =	0
  a		:   Tuple	  =	len(_A							) - 2
  for i in range(_A					,     -1					,     -2							):
    #  double the value of every second digit
    a		:   Optional[Any]	  =	int(cc_number[i]							)
    digit *= 2
    # If doubling of a number results in a two digit number
    # i.e greater than 9(e.g., 6 × 2 = 12),
    # then add the digits of the product (e.g., 12: 1 + 2 = 3, 15: 1 + 5 = 6),
    # to get a single digit number.
    if digit > 9:
      digit %= 10
      digit += 1
    a		:   Dict	  =	cc_number[:i] + str(_A							) + cc_number[i + 1 :]
    total += digit

  # Sum up the remaining digits
  for i in range(len(_A							) - 1					,     -1					,     -2							):
    total += int(cc_number[i]							)

  return total % 10 == 0
def  lowerCamelCase__			(		_A							):
  a		:   Optional[int]	  =	f"""{credit_card_number} is an invalid credit card number because"""
  if not credit_card_number.isdigit():
    print(f"""{error_message} it has nonnumerical characters."""							)
    return False

  if not 13 <= len(_A							) <= 16:
    print(f"""{error_message} of its length."""							)
    return False

  if not validate_initial_digits(_A							):
    print(f"""{error_message} of its first two digits."""							)
    return False

  if not luhn_validation(_A							):
    print(f"""{error_message} it fails the Luhn check."""							)
    return False

  print(f"""{credit_card_number} is a valid credit card number."""							)
  return True


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     validate_credit_card_number('4111111111111111')
     validate_credit_card_number('32323')




'''simple docstring'''






from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCAmelCase:   List[str]					=		logging.get_logger(__name__)

lowerCAmelCase:   int					=		{
    'bert-base-uncased': 'https://huggingface.co/bert-base-uncased/resolve/main/config.json',
    'bert-large-uncased': 'https://huggingface.co/bert-large-uncased/resolve/main/config.json',
    'bert-base-cased': 'https://huggingface.co/bert-base-cased/resolve/main/config.json',
    'bert-large-cased': 'https://huggingface.co/bert-large-cased/resolve/main/config.json',
    'bert-base-multilingual-uncased': 'https://huggingface.co/bert-base-multilingual-uncased/resolve/main/config.json',
    'bert-base-multilingual-cased': 'https://huggingface.co/bert-base-multilingual-cased/resolve/main/config.json',
    'bert-base-chinese': 'https://huggingface.co/bert-base-chinese/resolve/main/config.json',
    'bert-base-german-cased': 'https://huggingface.co/bert-base-german-cased/resolve/main/config.json',
    'bert-large-uncased-whole-word-masking': (
        'https://huggingface.co/bert-large-uncased-whole-word-masking/resolve/main/config.json'
    ),
    'bert-large-cased-whole-word-masking': (
        'https://huggingface.co/bert-large-cased-whole-word-masking/resolve/main/config.json'
    ),
    'bert-large-uncased-whole-word-masking-finetuned-squad': (
        'https://huggingface.co/bert-large-uncased-whole-word-masking-finetuned-squad/resolve/main/config.json'
    ),
    'bert-large-cased-whole-word-masking-finetuned-squad': (
        'https://huggingface.co/bert-large-cased-whole-word-masking-finetuned-squad/resolve/main/config.json'
    ),
    'bert-base-cased-finetuned-mrpc': 'https://huggingface.co/bert-base-cased-finetuned-mrpc/resolve/main/config.json',
    'bert-base-german-dbmdz-cased': 'https://huggingface.co/bert-base-german-dbmdz-cased/resolve/main/config.json',
    'bert-base-german-dbmdz-uncased': 'https://huggingface.co/bert-base-german-dbmdz-uncased/resolve/main/config.json',
    'cl-tohoku/bert-base-japanese': 'https://huggingface.co/cl-tohoku/bert-base-japanese/resolve/main/config.json',
    'cl-tohoku/bert-base-japanese-whole-word-masking': (
        'https://huggingface.co/cl-tohoku/bert-base-japanese-whole-word-masking/resolve/main/config.json'
    ),
    'cl-tohoku/bert-base-japanese-char': (
        'https://huggingface.co/cl-tohoku/bert-base-japanese-char/resolve/main/config.json'
    ),
    'cl-tohoku/bert-base-japanese-char-whole-word-masking': (
        'https://huggingface.co/cl-tohoku/bert-base-japanese-char-whole-word-masking/resolve/main/config.json'
    ),
    'TurkuNLP/bert-base-finnish-cased-v1': (
        'https://huggingface.co/TurkuNLP/bert-base-finnish-cased-v1/resolve/main/config.json'
    ),
    'TurkuNLP/bert-base-finnish-uncased-v1': (
        'https://huggingface.co/TurkuNLP/bert-base-finnish-uncased-v1/resolve/main/config.json'
    ),
    'wietsedv/bert-base-dutch-cased': 'https://huggingface.co/wietsedv/bert-base-dutch-cased/resolve/main/config.json',
    # See all BERT models at https://huggingface.co/models?filter=bert
}

class 				a__(   lowerCamelCase__      ):
    lowercase__					=       """bert"""







    def __init__( self					:    List[str]		,     __snake_case					:    Optional[Any]=3_05_22		,     __snake_case					:    Any=7_68		,     __snake_case					:    str=12		,     __snake_case					:    Optional[int]=12		,     __snake_case					:    Tuple=30_72		,     __snake_case					:    Optional[Any]="gelu"		,     __snake_case					:    Dict=0.1		,     __snake_case					:    Optional[int]=0.1		,     __snake_case					:    List[Any]=5_12		,     __snake_case					:    Optional[Any]=2		,     __snake_case					:    Optional[Any]=0.02		,     __snake_case					:    List[str]=1e-1_2		,     __snake_case					:    Dict=0		,     __snake_case					:    List[str]="absolute"		,     __snake_case					:    List[Any]=True		,     __snake_case					:    List[str]=None		,     **__snake_case					:    Any		,     ):
      super().__init__(pad_token_id=__snake_case		,     **__snake_case      )

      a		:   str	  =	vocab_size
      a		:   List[Any]	  =	hidden_size
      a		:   Union[str, Any]	  =	num_hidden_layers
      a		:   List[Any]	  =	num_attention_heads
      a		:   str	  =	hidden_act
      a		:   str	  =	intermediate_size
      a		:   Tuple	  =	hidden_dropout_prob
      a		:   Union[str, Any]	  =	attention_probs_dropout_prob
      a		:   List[Any]	  =	max_position_embeddings
      a		:   Union[str, Any]	  =	type_vocab_size
      a		:   List[Any]	  =	initializer_range
      a		:   Dict	  =	layer_norm_eps
      a		:   Any	  =	position_embedding_type
      a		:   List[str]	  =	use_cache
      a		:   List[str]	  =	classifier_dropout

class 				a__(   lowerCamelCase__      ):







    @property
    def      lowercase_			( self					:    List[str]      ):
      if self.task == "multiple-choice":
        a		:   Tuple	  =	{0: 'batch', 1: 'choice', 2: 'sequence'}
      else:
        a		:   List[Any]	  =	{0: 'batch', 1: 'sequence'}
      return OrderedDict(
          [
              ('input_ids', dynamic_axis),
              ('attention_mask', dynamic_axis),
              ('token_type_ids', dynamic_axis),
          ]      )